Manufacturing a low-carbon geopolymer self-sensing composite for intelligent structure

IF 21.8 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Dongyu Wang, Zuhua Zhang, Siqi Ding, Chaolie Ning, Cheng Shi, Xiaoqing Liu, Qiang Ren, Zhengwu Jiang
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Abstract

The advancement of smart building and infrastructure has increased the demand for intelligent materials with highly sensitive structural health monitoring (SHM) function. This study reports a high cost-effective strategy of manufacturing geopolymer self-sensing composites (GSCs) with high strength and sensitivity yet low carbon footprint. The effects of the precursor composition and conductive fillers, i.e., nano carbon black (NCB) and copper coated steel fiber (CSF), on the mechanical and electrical properties were investigated. To achieve high and stable sensitivity, the self-sensing behaviors and underlying mechanisms of hybrid NCB and CSF reinforced GSCs were examined through multiscale microstructural analyses. Pore structures were systematically analyzed using nitrogen adsorption desorption (NAD), mercury intrusion porosimetry (MIP), and X-ray computed tomography (X-CT), while interface microstructure was characterized via scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy-dispersive spectroscopy (EDS). The results indicate that the hybrid NCB and CSF system forms a three-dimensional reinforcing and continuous conductive network within the cross-linked SiO₄ and AlO₄ tetrahedral framework. This synergistic effect significantly enhances the self-sensing performance of GSCs by refining the nanopore structure, improving conductive pathway connectivity, enhancing ductility at low strain levels, and maintaining structural stability under high strain. An optimal GSC mixture composed of 60% ground granulated blast furnace slag, 25% metakaolin, and 15% silica fume manufactured in this study achieved a maximum gauge factor of 3853.4, representing an order-of-magnitude improvement in sensitivity compared to the Portland cement–based counterpart. GSCs demonstrated high potential for SHM application, providing an innovative material manufacturing strategy for next-generation intelligent structure.

智能结构用低碳地聚合物自感复合材料的研制
随着智能建筑和基础设施的发展,对具有高灵敏度结构健康监测功能的智能材料的需求不断增加。本研究报告了一种制造高强度、高灵敏度、低碳足迹的地聚合物自传感复合材料(GSCs)的高成本效益策略。研究了前驱体组成和导电填料纳米炭黑(NCB)和铜包钢纤维(CSF)对复合材料力学性能的影响。为了获得高且稳定的灵敏度,通过多尺度微观结构分析研究了NCB和CSF混合增强GSCs的自感知行为和潜在机制。采用氮吸附解吸法(NAD)、压汞法(MIP)和x射线计算机断层扫描(X-CT)对孔隙结构进行了系统分析,并通过扫描电镜(SEM)、透射电镜(TEM)和能谱分析(EDS)对界面微观结构进行了表征。结果表明,NCB和CSF的杂化体系在交联的SiO₄和AlO₄四面体框架内形成了三维增强的连续导电网络。这种协同效应通过细化纳米孔结构、改善导电通路连通性、提高低应变水平下的延展性和保持高应变下的结构稳定性,显著提高了GSCs的自传感性能。本研究中制造的最佳GSC混合物由60%的磨粒高炉渣、25%的偏高岭土和15%的硅灰组成,其最大测量系数为3853.4,与波特兰水泥基混合物相比,灵敏度提高了一个数量级。GSCs具有很高的应用潜力,为下一代智能结构提供了一种创新的材料制造策略。
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来源期刊
CiteScore
26.00
自引率
21.40%
发文量
185
期刊介绍: Advanced Composites and Hybrid Materials is a leading international journal that promotes interdisciplinary collaboration among materials scientists, engineers, chemists, biologists, and physicists working on composites, including nanocomposites. Our aim is to facilitate rapid scientific communication in this field. The journal publishes high-quality research on various aspects of composite materials, including materials design, surface and interface science/engineering, manufacturing, structure control, property design, device fabrication, and other applications. We also welcome simulation and modeling studies that are relevant to composites. Additionally, papers focusing on the relationship between fillers and the matrix are of particular interest. Our scope includes polymer, metal, and ceramic matrices, with a special emphasis on reviews and meta-analyses related to materials selection. We cover a wide range of topics, including transport properties, strategies for controlling interfaces and composition distribution, bottom-up assembly of nanocomposites, highly porous and high-density composites, electronic structure design, materials synergisms, and thermoelectric materials. Advanced Composites and Hybrid Materials follows a rigorous single-blind peer-review process to ensure the quality and integrity of the published work.
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